Ziyi Yin

According to our database, Ziyi Yin authored at least 13 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Time-lapse full-waveform permeability inversion: a feasibility study.

Ziyi Yin, Mathias Louboutin, Olav Møyner, Felix J. Herrmann

CoRR, 2024

WISE: full-Waveform variational Inference via Subsurface Extensions.

Ziyi Yin, Rafael Orozco, Mathias Louboutin, Felix J. Herrmann

CoRR, 2024

2023

Solving multiphysics-based inverse problems with learned surrogates and constraints.

Ziyi Yin, Rafael Orozco, Mathias Louboutin, Felix J. Herrmann

Adv. Model. Simul. Eng. Sci., December, 2023

Model-parallel Fourier neural operators as learned surrogates for large-scale parametric PDEs.

Thomas J. Grady II, Rishi Khan, Mathias Louboutin, Ziyi Yin, Philipp A. Witte, Ranveer Chandra, Russell J. Hewett, Felix J. Herrmann

Comput. Geosci., September, 2023

Inference of CO2 flow patterns - a feasibility study.

Abhinav Prakash Gahlot, Huseyin Tuna Erdinc, Rafael Orozco, Ziyi Yin, Felix J. Herrmann

CoRR, 2023

Learned multiphysics inversion with differentiable programming and machine learning.

Mathias Louboutin, Ziyi Yin, Rafael Orozco, Thomas J. Grady II, Ali Siahkoohi, Gabrio Rizzuti, Philipp A. Witte, Olav Møyner, Gerard J. Gorman, Felix J. Herrmann

CoRR, 2023

2022

De-risking Carbon Capture and Sequestration with Explainable CO2 Leakage Detection in Time-lapse Seismic Monitoring Images.

Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Ziyi Yin, Mathias Louboutin, Felix J. Herrmann

CoRR, 2022

De-risking geological carbon storage from high resolution time-lapse seismic to explainable leakage detection.

Ziyi Yin, Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Mathias Louboutin, Felix J. Herrmann

CoRR, 2022

Towards Large-Scale Learned Solvers for Parametric PDEs with Model-Parallel Fourier Neural Operators.

Thomas J. Grady II, Rishi Khan, Mathias Louboutin, Ziyi Yin, Philipp A. Witte, Ranveer Chandra, Russell J. Hewett, Felix J. Herrmann

CoRR, 2022

Accelerating innovation with software abstractions for scalable computational geophysics.

Mathias Louboutin, Philipp A. Witte, Ali Siahkoohi, Gabrio Rizzuti, Ziyi Yin, Rafael Orozco, Felix J. Herrmann

CoRR, 2022

Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators.

Ziyi Yin, Ali Siahkoohi, Mathias Louboutin, Felix J. Herrmann

CoRR, 2022

2021

Compressive time-lapse seismic monitoring of carbon storage and sequestration with the joint recovery model.

Ziyi Yin, Mathias Louboutin, Felix J. Herrmann

CoRR, 2021

2020

Extended source imaging, a unifying framework for seismic & medical imaging.

Ziyi Yin, Rafael Orozco, Philipp A. Witte, Mathias Louboutin, Gabrio Rizzuti, Felix J. Herrmann

CoRR, 2020